Guide
How to build an internal FAQ with AI, and keep it current
An internal FAQ stays useful when it's built from the questions people actually ask and kept by named owners, and AI does the slow part. Export a month of questions from your help channels and email, and ask it to merge the ones that ask the same thing, count them, rank them by how many people they affect, and answer each in one or two sentences from your official documents, with a link. Anything the documents don't settle becomes "not decided yet", and questions about pay, jobs or strategy go to a list for a leader to answer. Give every answer an owner and a review date, and put the FAQ where both people and the team's AI read it, so chat questions get the same answer as the page.
Short answer
- From real questions, merged and counted.
- Answers from official sources, with a link.
- "Not decided yet" beats a guess.
- An owner and a review date for every answer.
The brief to copy
Internal FAQ roundup brief
"Here are this month's questions from [channels and inbox], and our official documents: [paste or attach].
Merge questions that ask the same thing in other words and count how many people asked each. Drop ones that affect only one person. Rank by how many people the answer affects, then by how often it was asked, and keep the top 5 to 10.
Answer each in 1 to 2 sentences from the documents only, and link the source. If they don't settle it, write "Not decided yet" and [needs an answer from: role]. Put anything about pay, jobs, strategy or other sensitive topics in a separate list for a leader, with who should answer. Professional, plain, approachable."
A worked example
Illustration: a made-up business. The operations team of a 60-person company exports a month of #ask-ops. The roundup merges 41 messages into six questions. Five go into the FAQ, four of them shown here, and one, about next year's bonuses, goes to the leadership list:
| Question (asked by) | Answer | Owner, review |
|---|---|---|
| How do I set up the VPN on a new laptop? (12) | Install the client from the IT portal and sign in with your work account; the steps are in the IT handbook, section 3. [link] | IT lead, February |
| When are expense receipts due? (9) | By the 5th of the following month, through the expense app. [link to expense policy] | Finance, February |
| Can visitors get a badge in advance? (7) | Yes: book them at reception by noon the day before. [link to office guide] | Office manager, February |
| Will there be parking at the new office? (4) | Not decided yet. [needs an answer from: COO] | COO, by the move |
The bonus question went to the CEO, who answered it at the next all-hands. The page went into the team's AI project, and the next month #ask-ops had five VPN questions instead of twelve.
What stays with the team
- Owners change their own answers, in one place.
- Review dates come round, and the owner checks the link still says the same.
- Names come out of exported messages before pasting; the questions are what matter.
- Leaders answer the leadership list, on a date, or say when they will.
- Run the roundup monthly, on new questions only.
Next step: the skills an operations team keeps
The FAQ roundup is one of a handful of skills that cover an operations team's repeated writing. Claude skills for operations: the five to set up first covers the others, from SOPs to vendor comparisons.
Skills for this
- Operations and adminInternal FAQ roundupFinds the questions many employees are asking and answers each in 1 to 2 sentences from official sources, flagging what needs a leader.
- Customer successFAQ from support ticketsTurns a batch of tickets or chats into an FAQ: questions in customer words, ranked by count, short answers, and flags for answers to confirm.
- Operations and adminSOP from an explanation or recordingTurns an explanation or screen-recording transcript into an SOP with a trigger, roles, exact-label steps, decision points, checks, and an owner.
- Operations and adminInternal change announcementWrites an internal email or Slack post for a change: bottom line up front, what changes, why, when, who it affects, what to do, and where to ask.
Questions
Can AI write an internal FAQ?
Yes, from the questions people actually ask. Export a month of questions from your help channels and email, and ask it to merge the ones that ask the same thing, count them, rank them by how many people they affect, and answer each in one or two sentences from your official documents, with a link. Anything the documents don't settle gets "not decided yet" and an owner.
How do you keep an internal FAQ up to date?
Give every answer an owner and a review date, run the roundup again each month on new questions, and let the owner change their answers in one place. When a policy changes, the owner updates the answer the same week; the FAQ should never be older than the documents it links to.
Where should an internal FAQ live?
Where people and their AI both read it: one shared document or page, added as a file to the team's AI project or knowledge source, so a question asked in chat is answered from the FAQ and links to it. People scan more than they read, as Nielsen Norman Group's research found, so keep each answer to one or two sentences and a link.
AI skill
Have your AI answer the questions everyone at work is asking
Put this skill in AI Skill Pod and everyone on your team gets it in their Claude, Cursor or ChatGPT (Pro, Business, Enterprise): one invite link, free to start. With Internal FAQ roundup, each person's AI rounds up the questions many people are asking: merged and counted, ranked by how many people they affect, answered in one or two sentences from official sources with a link, "not decided yet" where nothing settles it, and a list of what needs a leader's answer.
14 days free · No card needed
Sources
- anthropics/skills: internal-comms FAQ answers guideline — base answers on official company communications; indicate uncertainty clearly; link to authoritative sources; flag questions that need executive input (read 2026-11-05)
- Nielsen Norman Group: How users read on the web (1997) — 79 percent of test users always scanned a new page; only 16 percent read word by word (read 2026-11-05)